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Creative industries are recognised as a key driver of economic growth in both developed and developing nations. In addition to recognising the importance of creative industries, the Australian government has recently renewed a focus on the vast northern tropical area of this island nation as key to future economic and population growth, via the release of a white paper focussed on development options for the north. However, the white paper contains virtually no references to creative industries. In addition, Australia’s most recent national cultural policy, Creative Australia, has after only a few years slipped into obscurity and despite major resources being invested towards its development. Drawing on the almost 100 years of policy documentation relevant to Northern Australia, this paper highlights the limited attention paid to arts, culture and creative industries, and considers this relative policy vacuum in the context of global developments in creative industries.  相似文献   
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ABSTRACT

This paper explores how global innovation networks (GIN) within multinational companies (MNCs) act as extra-regional sources for path development in a regional innovation system (RIS) specializing in the oil and gas sector. We combine the literature on intra-firm knowledge dynamics in MNCs’ GIN with the literature on RISs to better understand their interrelatedness and their dynamics. Based on interviews with 15 MNCs located in the south-west of Norway, we find that firms are highly dependent on competence throughout the MNCs’ entire networks, as well as interaction with the overall RIS. The findings expose that MNCs’ GINs can act as extra-regional sources for path ‘extension’ in thick and specialized RISs through intra-firm mobility, observation and sharing of routines and best practice, mainly resulting in incremental innovations. We find some signs of potential path ‘renewal’, including radical innovation ideas. However, there are hampering factors linked to strong internal competition for innovation projects, pressure for local profitability and ownership motivation. At the level of RISs, new initiatives going beyond existing cluster initiatives and specializations need support.  相似文献   
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Regression models are commonly applied in the analysis of transportation data. This research aims at broadening the range of methods used for this task by modeling the spatial distribution of bike-sharing trips in Cologne, Germany, applying both parametric regression models and a modified machine learning approach while incorporating measures to account for spatial autocorrelation. Independent variables included in the models consist of land use types, elements of the transport system and sociodemographic characteristics. Out of several regression models with different underlying distributions, a Tweedie generalized additive model is chosen by its values for AIC, RMSE, and sMAPE to be compared to an XGBoost model. To consider spatial relationships, spatial splines are included in the Tweedie model, while the estimations of the XGBoost model are modified using a geographically weighted regression. Both methods entail certain advantages: while XGBoost leads to far better values regarding RMSE and sMAPE and therefore to a better model fit, the Tweedie model allows an easier interpretation of the influence of the independent variables including spatial effects.  相似文献   
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African Archaeological Review - Over the past decade, the increasing wealth of new archaeological data on the Middle Stone Age (MSA) in Senegal and Mali has broadened our understanding of...  相似文献   
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